Inverse analysis of geomechanical parameters by the artificial bee colony algorithm and multi-output support vector machine

In situ stress measurements interpretations in large underground marble quarry by 3D modeling

(2013) A.M. Ferrero et al.   INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES

A Practical Indirect Back Analysis Approach for Geomechanical Parameters Identification

(2013) Hongbo Zhao et al.   MARINE GEORESOURCES & GEOTECHNOLOGY

Multi-step-ahead time series prediction using multiple-output support vector regression

(2013) Yukun Bao et al.   NEUROCOMPUTING

Reservoir geomechanical parameters identification based on ground surface movements

(2012) Shike Zhang et al.   Acta Geotechnica

Parameter identification in numerical modeling of tunneling using the Differential Evolution Genetic Algorithm (DEGA)

(2011) Sotirios Vardakos et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

Geomechanical parameters identification by particle swarm optimization and support vector machine

(2009) Hong-bo Zhao et al.   APPLIED MATHEMATICAL MODELLING

A novel clustering approach: Artificial Bee Colony (ABC) algorithm

(2009) Dervis Karaboga et al.   APPLIED SOFT COMPUTING

On the performance of artificial bee colony (ABC) algorithm

(2007) D. Karaboga et al.   APPLIED SOFT COMPUTING

Inverse analysis techniques for parameter identification in simulation of excavation support systems

(2007) C. Rechea et al.   COMPUTERS AND GEOTECHNICS